Papers
Sat 16 Jul 2022
99 papers
- Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image SynthesisDiffusion models → Diffusion foundations and sampling
- SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
- JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesEnd-to-end autonomous driving → VLMs for autonomous driving
- Robust AI Driving Strategy for Autonomous VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
- BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted PromotionOffline RL and imitation learning from data → Decision transformers and sequence modeling
- [Reproducibility Report] Path Planning using Neural A* Search
- Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event
- RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments
- Proactive Distributed Emergency Response with Heterogeneous Tasks Allocation
- A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference
- Security and Safety Aspects of AI in Industry Applications
- A Machine Learning Approach for Driver Identification Based on CAN-BUS Sensor Data
- Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration
- A Singular Woodbury and Pseudo-Determinant Matrix Identities and Application to Gaussian Process Regression
- Data Representativeness in Accessibility Datasets: A Meta-Analysis
- Single MR Image Super-Resolution using Generative Adversarial Network
- Progress and limitations of deep networks to recognize objects in unusual poses
- Analysis of liver cancer detection based on image processing
- Rewiring Networks for Graph Neural Network Training Using Discrete Geometry
- LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training
- Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry
- Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
- Parallel Best Arm Identification in Heterogeneous Environments
- Meta-Referential Games to Learn Compositional Learning Behaviours
- S4: a High-sparsity, High-performance AI Accelerator
- EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders
- SVGraph: Learning Semantic Graphs from Instructional Videos
- DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
- Signed Cumulative Distribution Transform for Parameter Estimation of 1-D Signals
- Characterization of Group-Fair Social Choice Rules under Single-Peaked Preferences
- Indivisible Participatory Budgeting under Weak Rankings
- Knowledge Guided Bidirectional Attention Network for Human-Object Interaction Detection
- Online Prediction in Sub-linear Space
- Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
- Certified Neural Network Watermarks with Randomized Smoothing
- A Survey of Decision Making in Adversarial Games
- FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
- Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences
- A Nearly Tight Analysis of Greedy k-means++
- Collaborative Learning in Kernel-based Bandits for Distributed Users
- Stochastic Attribute Modeling for Face Super-Resolution
- MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks
- Visually-aware Acoustic Event Detection using Heterogeneous Graphs
- Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model
- Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection
- Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching
- Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation
- Towards Lightweight Super-Resolution with Dual Regression Learning
- Quantum Noise-Induced Reservoir Computing
- Learning Quality-aware Dynamic Memory for Video Object Segmentation
- CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior
- Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features
- Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT
- Discriminative Kernel Convolution Network for Multi-Label Ophthalmic Disease Detection on Imbalanced Fundus Image Dataset
- Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
- Multiscale Causal Structure Learning
- Unsupervised Ensemble Based Deep Learning Approach for Attack Detection in IoT Network
- Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation
- SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
- Transfer learning for time series classification using synthetic data generation
- Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave Radars
- Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis
- You Should Look at All Objects
- SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
- An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
- Clover: Towards A Unified Video-Language Alignment and Fusion Model
- Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures
- On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning
- Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
- NeFSAC: Neurally Filtered Minimal Samples
- CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space
- CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
- Automatic dataset generation for specific object detection
- TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
- SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing
- The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network
- TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
- Class-Incremental Lifelong Learning in Multi-Label Classification
- Understanding Influence Maximization via Higher-Order Decomposition
- Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations
- Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement
- Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System
- Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
- ChronosPerseus: Randomized Point-based Value Iteration with Importance Sampling for POSMDPs
- Adaptive Sketches for Robust Regression with Importance Sampling
- Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization
- Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees
- Self-calibrating Photometric Stereo by Neural Inverse Rendering
- Autonomously Untangling Long Cables
- A Survey on Collaborative DNN Inference for Edge Intelligence
- CHARM: A Hierarchical Deep Learning Model for Classification of Complex Human Activities Using Motion Sensors
- Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders
- Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
- CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising
- CARBEN: Composite Adversarial Robustness Benchmark
- RCRN: Real-world Character Image Restoration Network via Skeleton Extraction
- Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training
- Associative Memory Based Experience Replay for Deep Reinforcement Learning
- Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes